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Failure-mode index

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A searchable index of real negative results, null findings, and replication failures from the published literature — so you can learn what didn't work before repeating it.

WASTE indexes published research — it does not host or republish full papers. Each entry is a metadata record (title, authors, DOI) compiled from open scholarly databases, with the abstract shown in full only where the paper is openly licensed (e.g. Creative Commons); otherwise a short excerpt is shown for reference under fair use. WASTE classifies each work by failure type; classifications are automated and approximate.

129 results in Methods Dead-End · page 1 of 5

Methods Dead-EndOpen accessDecision Sciences

Comparing multiple comparisons: practical guidance for choosing the best multiple comparisons test

Stephen R. Midway, Matthew Robertson, Shane Flinn et al. · 2020 · PeerJ

Multiple comparisons tests (MCTs) include the statistical tests used to compare groups (treatments) often following a significant effect reported in one of many types of linear models. Due to a variety of data and statistical considerations, several dozen MCTs have been developed over the decades, with tests ranging from very similar to each other to very different from each other. Many scientific disciplines use MCTs, including >40,000 reports of their use in ecological journals in the last 60 years. Despite the ubiquity and utility of MCTs, several issues remain in terms of their correct

View details →DOI: 10.7717/peerj.10387Cited by 429
Methods Dead-EndOpen accessMathematics

Minimum sample size for developing a multivariable prediction model using multinomial logistic regression

Alexander Pate, Richard D Riley, Gary S. Collins et al. · 2023 · Statistical Methods in Medical Research

Aims Multinomial logistic regression models allow one to predict the risk of a categorical outcome with > 2 categories. When developing such a model, researchers should ensure the number of participants ([Formula: see text]) is appropriate relative to the number of events ([Formula: see text]) and the number of predictor parameters ([Formula: see text]) for each category k. We propose three criteria to determine the minimum n required in light of existing criteria developed for binary outcomes. Proposed criteria The first criterion aims to minimise the model overfitting. The second aims to

View details →DOI: 10.1177/09622802231151220Cited by 162
Methods Dead-EndOpen accessPsychology

Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions

Kirsten Zantvoort, Barbara Nacke, Dennis Görlich et al. · 2024 · npj Digital Medicine

Artificial intelligence promises to revolutionize mental health care, but small dataset sizes and lack of robust methods raise concerns about result generalizability. To provide insights on minimal necessary data set sizes, we explore domain-specific learning curves for digital intervention dropout predictions based on 3654 users from a single study (ISRCTN13716228, 26/02/2016). Prediction performance is analyzed based on dataset size (N = 100-3654), feature groups (F = 2-129), and algorithm choice (from Naive Bayes to Neural Networks). The results substantiate the concern that small datasets

View details →DOI: 10.1038/s41746-024-01360-wCited by 69
Methods Dead-EndOpen accessMedicine

Cost-effectiveness of point-of-care viral load monitoring of antiretroviral therapy in resource-limited settings

Janne Estill, Matthias Egger, Nello Blaser et al. · 2013 · AIDS

BACKGROUND: Monitoring of HIV viral load in patients on combination antiretroviral therapy (ART) is not generally available in resource-limited settings. We examined the cost-effectiveness of qualitative point-of-care viral load tests…

View details →DOI: 10.1097/qad.0b013e328360a4e5Cited by 50
Methods Dead-EndOpen accessMedicine

Establishing the Minimum Clinically Significant Difference (MCID) and the Patient Acceptable Symptom Score (PASS) for the Hospital Anxiety and Depression Scale (HADS) in Patients with Rotator Cuff Disease and Shoulder Prosthesis

Umile Giuseppe Longo, Rocco Papalia, Sergio De Salvatore et al. · 2023 · Journal of Clinical Medicine

Insufficiently treated shoulder pain may cause mental disturbances, including depression and anxiety. The Hospital Anxiety and Depression Scale (HADS) is a patient-reported outcome measure (PROM) that aims to identify depression and anxiety in patients in nonpsychiatric wards. The aim of this study was to identify the minimum clinically important difference (MCID) and patient acceptable symptom state (PASS) scores for the HADS in a cohort of individuals with rotator cuff disease. Using the HADS, participants' degrees of anxiety and depression were assessed at inception and at their final asses

View details →DOI: 10.3390/jcm12041540Cited by 36
Methods Dead-EndOpen accessEnvironmental Science

Digital Mapping of Soil Properties Using Ensemble Machine Learning Approaches in an Agricultural Lowland Area of Lombardy, Italy

Odunayo David Adeniyi, Alexander Brenning, Alice Bernini et al. · 2023 · Land

Sustainable agricultural landscape management needs reliable and accurate soil maps and updated geospatial soil information. Recently, machine learning (ML) models have commonly been used in digital soil mapping, together with limited data, for various types of landscapes. In this study, we tested linear and nonlinear ML models in predicting and mapping soil properties in an agricultural lowland landscape of Lombardy region, Italy. We further evaluated the ability of an ensemble learning model, based on a stacking approach, to predict the spatial variation of soil properties, such as sand, sil

View details →DOI: 10.3390/land12020494Cited by 36
Methods Dead-End

When ‘Significant’ is not Significant

Rachel Kennedy, John Scriven, Magda Nenycz-Thiel · 2014 · International Journal of Market Research

Big data is here for some and coming for many. It promises access to new knowledge along with some challenges, but let's not forget the important lessons of the past to ensure that we are advancing knowledge and making the right decisions…

View details →DOI: 10.2501/ijmr-2014-041Cited by 23
Methods Dead-End

What Did Really Improve Our Mesoscale Hydrological Model? A Multidimensional Analysis Based on Real Observations

Till Francke, Gabriele Baroni, Arlena Brosinsky et al. · 2018 · Water Resources Research

Abstract Modelers can improve a model by addressing the causes for the model errors (data errors and structural errors). This leads to implementing model enhancements (MEs), for example, meteorological data based on more monitoring…

View details →DOI: 10.1029/2018wr022813Cited by 13
Methods Dead-End

Lack of Significant Association between Plasma/Serum miR‐221 Expression and Poor Survival of Carcinoma: A Meta‐Analysis

Min-hua Rong, Yi-wu Dang, Gang Chen · 2013 · The Scientific World Journal

Background . MicroRNAs (miRNAs) exhibit altered expression levels in cancers, and they may play a potential role as diagnostic and prognostic biomarkers of cancers. The aim of this meta‐analysis was to summarize recent advances in miR‐221…

View details →DOI: 10.1155/2013/394030Cited by 3
Methods Dead-EndOpen accessComputer Science

Meta-Regression Analysis of Errors in Short-Term Electricity Load Forecasting

Konstantin Hopf, Hannah Hartstang, Thorsten Staake · 2023 · arXiv

Forecasting electricity demand plays a critical role in ensuring reliable and cost-efficient operation of the electricity supply. With the global transition to distributed renewable energy sources and the electrification of heating and transportation, accurate load forecasts become even more important. While numerous empirical studies and a handful of review articles exist, there is surprisingly little quantitative analysis of the literature, most notably none that identifies the impact of factors on forecasting performance across the entirety of empirical studies. In this article, we therefor

Methods Dead-EndOpen access

The Influence of Internal Village Development Strategies Increase Village Income Through Village Owned Business Entity (Bumdes) in the Village Sei Red, Tanjung Morawa District Deli Serdang Regency

Y. Ekawati, D. Sari · 2022 · International journal of economics

This study aims to determine whether the village development strategy has an effect on increasing village income in Sei Merah Village, Kec . Tj Morawa . The method used in this study is a quantitative method with several tests, namely…

View details →DOI: 10.55299/ijec.v1i1.81
Methods Dead-EndOpen accessMedicine

A Comparative Analysis of Serum Sodium Level Utilizing Direct and Indirect Ion Selective Electrode in Critically Ill Patients with Hypoalbuminemia: Methodological Insights and Clinical Implications

Rukhsana Tumrani, S. Sabahat Haider, Mehvish Sana · 2024 · Pakistan Journal of Medical Research

Background: Serum electrolytes are one of the most frequently requested tests in patients from critical care settings. Methodsfor estimation of serum electrolytes include direct and indirect ion selective electrode (ISE). In case of indirect ISE, the pre-analytical dilution step can result in pseudonormonatremia or pseudohypernatremia in setting of hypoalbuminemia. Discrepancy in sodium results can lead to the misdiagnosis and mismanagement of critically ill patients. Objective: To evaluate the difference of mean serum sodium level measured by direct and indirect ISE in critically ill patients

Methods Dead-EndOpen accessMedicine (General)

The effects of music listening intervention on postoperative care in unilateral vs. bilateral endometriotic cysts

Xiaohui Yang, Yue Meng, Huiyan Feng et al. · 2025 · Frontiers in Medicine

BackgroundEndometriosis is a chronic gynecological condition that can result in pelvic pain and infertility, thereby significantly impacting women's reproductive health. Psychological disorders such as anxiety and depression are common in women with endometriosis and can have a detrimental effect on their quality of life. Conventional postoperative care primarily focuses on medical and surgical aspects; however, there is a growing need to address the psychological wellbeing of patients as part of comprehensive postoperative care. Music listening interventions have emerged as a promising adjunc

View details →DOI: 10.3389/fmed.2025.1626575
Methods Dead-EndOpen access

Effects of respiratory inhibitors on growth

D. J. West, D. Woodward · 1969

Effects of respiratory inhibitors on growth This response of neurospora to various antibiotics and other toxic chemicals is available in Fungal Genetics Reports: https://newprairiepress.org/fgr/vol15/iss1/19 RESPONSE OF NEUROSPORA TO…

View details →DOI: 10.4148/1941-4765.1922
Methods Dead-End

The Developing "The Most Significant Change Technique (MSC) Model" in Physical Education Learning in High Schools

Kristi Agust, Fekie Adila, Imam Rahmatullah et al. · 2023 · Journal Physical Health Recreation

Tujuan dari penelitian ini adalah mengembangkan model evaluasi teknik The Most Significant Change Technique paling progresif dalam pembelajaran PJOK di Sekolah Menengah Atas. Metodologi yang digunakan adalah Researeh & Development dengan…

View details →DOI: 10.55081/jphr.v3i2.847
Methods Dead-EndOpen accessMedical emergencies. Critical care. Intensive care. First aid

Urine cell cycle arrest biomarkers distinguish poorly between transient and persistent AKI in early septic shock: a prospective, multicenter study

Dimitri Titeca-Beauport, Delphine Daubin, Ly Van Vong et al. · 2020 · Critical Care

Abstract Background The urine biomarkers tissue inhibitor of metalloproteinases-2 (TIMP-2) and insulin-like growth factor-binding protein 7 (IGFBP7) have been validated for predicting and stratifying AKI. In this study, we analyzed the utility of these biomarkers for distinguishing between transient and persistent AKI in the early phase of septic shock. Methods We performed a prospective, multicenter study in 11 French ICUs. Patients presenting septic shock, with the development of AKI within the first 6 h, were included. Urine [TIMP-2]*[IGFBP7] was determined at inclusion (0 h), 6 h, 12 h, an

View details →DOI: 10.1186/s13054-020-02984-6
Methods Dead-EndOpen accessSports

Effect of caffeine intake on critical power model parameters determined on a cycle ergometer

Marcus Vinicius Machado, Alexandre Rosas Batista, Leandro Ricardo Altimari et al. · 2010 · Revista Brasileira de Cineantropometria e Desempenho Humano

The aim of this study was to evaluate the effect of caffeine intake on critical power model parameters determined on a cycle ergometer. Eight male subjects participated in this study. A double-blind protocol consisting of the intake of pure caffeine (6 mg/kg) or placebo (maltodextrin) 60 min before testing was used. Subjects were submitted to four constant-load tests on a cycle ergometer. These tests were conducted randomly in the caffeine and placebo groups [checar] at intensities of 80, 90, 100 and 110% maximum power at a rate of 70 rpm until exhaustion to determine the critical power. As a

Methods Dead-EndOpen accessComputer Science

Another Facet of LIG Parsing

Pierre Boullier · 1996 · arXiv

In this paper we present a new parsing algorithm for linear indexed grammars (LIGs) in the same spirit as the one described in (Vijay-Shanker and Weir, 1993) for tree adjoining grammars. For a LIG $L$ and an input string $x$ of length $n$, we build a non ambiguous context-free grammar whose sentences are all (and exclusively) valid derivation sequences in $L$ which lead to $x$. We show that this grammar can be built in ${\cal O}(n^6)$ time and that individual parses can be extracted in linear time with the size of the extracted parse tree. Though this ${\cal O}(n^6)$ upper bound does not impro

Methods Dead-EndOpen accessEnvironmental sciences

Model Validation and Sensitivity Analysis of Coupled Non‐Equilibrium Heat and Mass Transfer in Porous Media With Application to Evaporation From Bare Soils

Ashkan Talebi, Brent E. Sleep, Denis M. O'Carroll · 2023 · Water Resources Research

Abstract Mathematical models in engineering play an important role in understanding and predicting the behavior of a system. A mechanistic coupled liquid water, water vapor and heat transfer model incorporating kinetic phase change accounting for real‐time interfacial area between water and gas phases was developed to predict coupled subsurface processes and evaporation (drying) rates from bare soils. To enhance the model capability to predict evaporation rates, the air resistance associated with the viscous sublayer was implemented in energy and mass exchange across the soil‐air interface (th

View details →DOI: 10.1029/2023wr035573
Methods Dead-EndOpen accessAgriculture

Dry matter production and partitioning of maize hybrids and dwarf unes at four plant populations Produção e distribuição de matéria seca de híbridos e linhagens anãs de milho em quatro populações

Luis Sangoi, Ricardo Salvador · 1997 · Ciência Rural

This experiment was conducted in Ames, Iowa, USA, to compare dry matter accumulation patterns of maize genotypes contrasting in height and leafiness, and to test whether reduction in plant height an leaf number through the use of dwarfing genes or earliness can improve grain dry matter allocation. Five plant genotypes were tested: a full season hybrid adapted to central lowa (NK 4525), a short season hybrid adapted to northern Minnesota (C1070), and three dwarf lines (156-A, 302-E and I17- A). The dwarves contained, respectively, the homozygous, independent, recessive dwarfing genes d3, d1 and

View details →DOI: 10.1590/s0103-84781997000100001
Methods Dead-EndOpen accessDairy processing. Dairy products

Effect of nicotinic acid supplementation on digestion, metabolism, microbiome, and production in late-lactation Holstein cows

R.B. Standish, A.D. Wright, N.L. Whitehouse et al. · 2024 · Journal of Dairy Science

ABSTRACT: The purpose of this experiment was to determine if nicotinic acid (NA) effects on dairy cows and rumen microbial characteristics are forage-type dependent (corn silage, CS; grass silage, GS). Four late-lactation (DIM = 225 ± 12 d) Holstein cows were used in a 4 × 4 Latin square design with a 2 × 2 factorial arrangement of treatments. The main effects were a CS (66.10% CS) based diet or a GS (79.59%) based diet with or without 12 g/d NA. Each experimental period lasted for 28 d. Milk production and milk components, blood metabolites, apparent total-tract nutrient digestibilities, minu

View details →DOI: 10.3168/jds.2023-24483
Methods Dead-EndOpen accessMedicine (General)

A one-step NIST traceable HPLC method for quantitation of vitamin B6 and 4-pyridoxic acid in human plasma

Xiaochun Zhang, Xiaoying Tang, Thomas M. Daly · 2020 · Practical Laboratory Medicine

Objectives: Vitamin B6 deficiency is associated with a wide spectrum of clinical syndromes. While vitamin B6 status is primarily assessed by measuring the biologically active form of the vitamin, pyridoxal 5-phosphate (PLP), concurrent measurement of the final metabolite 4-pyridoxic acid (PA) can provide additional information regarding supplement intake and hypophosphatasia. The aim of this study is to develop a simple method traceable to the NIST standard reference material 3950 for simultaneous detection of PLP and PA. Design & methods: A one-step reverse phase HPLC method with fluorescence

View details →DOI: 10.1016/j.plabm.2020.e00160
Methods Dead-EndOpen accessFinance

Predictive Power of ESG Factors for DAX ESG 50 Index Forecasting Using Multivariate LSTM

Manuel Rosinus, Jan Lansky · 2025 · International Journal of Financial Studies

As investors increasingly use Environmental, Social, and Governance (ESG) criteria, a key challenge remains: ESG data is typically reported annually, while financial markets move much faster. This study investigates whether incorporating annual ESG scores can improve monthly stock return forecasts for German DAX-listed firms. We employ a multivariate long short-term memory (LSTM) network, a machine learning model ideal for time series data, to test this hypothesis over two periods: an 8-year analysis with a full set of ESG scores and a 16-year analysis with a single disclosure score. The evalu

View details →DOI: 10.3390/ijfs13030167
Methods Dead-EndOpen accessComputer Science

PENGARUH KUALITAS LAYANAN TERHADAP LOYALITAS PELANGGAN DI SPBU 34-17123 HARAPAN INDAH – BEKASI

Delvira Juang Utami, Vera Ramadhanty, Fatimah Azzahra · 2020 · Business Management Journal

Business competition in this modern era is so diverse, that business people who provide products and services must be able to make every effort and effort to be able to survive in the business that is being run. Currently for product…

View details →DOI: 10.30813/bmj.v16i1.2014
Methods Dead-EndOpen accessMedicine (General)

Evaluating the psychometric properties of the attitudes towards depression and its treatments scale in an Australian sample

Di Benedetto M, Greenwood KM, Isaac F · 2012 · Patient Preference and Adherence

Fadia Isaac1, Kenneth Mark Greenwood2, Mirella Di Benedetto31Cairnmillar Institute School of Psychology Counselling and Psychotherapy, Camberwell, Victoria, Australia; 2School of Psychology and Social Science Faculty of Computing, Health and Science, Edith Cowan University, Joondalup, Western Australia, Australia; 3School of Health Sciences, Royal Melbourne Institute of Technology University, Bundoora, Victoria, AustraliaBackground: Individuals’ attitudes towards depression and its treatments may influence their likelihood of seeking professional help and adherence to treatment when depr

Methods Dead-EndOpen accessAnimal culture

Qualidade e valor nutritivo de silagens de capim-marandu (B. brizantha cv. Marandu) produzidas com aditivos ou forragem emurchecida Quality and nutritive value of marandugrass (Brachiaria brizanthia, cv. Marandu) silage prepared with additive or wilting

Antonio Fernando Bergamaschine, Milton Passipiéri, Walter Valério Veriano Filho et al. · 2006 · Revista Brasileira de Zootecnia

Avaliaram-se a qualidade e o valor nutritivo de silagens de capim-marandu produzidas com polpa cítrica (PC) peletizada, com aditivo enzimático-bacteriano (ABE) ou com forragem emuchercida (E): T1 - forragem sem tratamento (controle); T2 - 10% de polpa cítrica peletizada (PC); T3 - aditivo enzimático bacteriano (AEB - SIL-ALL-C4 da Alltech), à base de 5 g/L de água/t de forragem; T4 - forragem picada grosseiramente emurchecida por 4 horas ao sol. O capim foi colhido aos 60 dias de rebrota (24% MS). Para avaliar o consumo e a digestibilidade das silagens, foram utilizados 16 novilhos mestiços co

View details →DOI: 10.1590/s1516-35982006000500027
Methods Dead-EndOpen accessMathematics

The Constrained Maximum Likelihood Estimation For Parameters Arising From Partially Identified Models

Hao Luo, Alexandre Bouchard-Côté, Gabriela Cohen Freue et al. · 2016 · arXiv

We extend the constrained maximum likelihood estimation theory for parameters of a completely identified model, proposed by Aitchison and Silvey (1958), to parameters arising from a partially identified model. With a partially identified model, some parameters of the model may only be identified through constraints imposed by additional assumptions. We show that, under certain conditions, the constrained maximum likelihood estimator exists and locally maximize the likelihood function subject to constraints. We then study the asymptotic distribution of the estimator and propose a numerical algo

Methods Dead-EndOpen accessComputer Science

LuMon: A Comprehensive Benchmark and Development Suite with Novel Datasets for Lunar Monocular Depth Estimation

Aytaç Sekmen, Fatih Emre Gunes, Furkan Horoz et al. · 2026 · arXiv

Monocular Depth Estimation (MDE) is crucial for autonomous lunar rover navigation using electro-optical cameras. However, deploying terrestrial MDE networks to the Moon brings a severe domain gap due to harsh shadows, textureless regolith, and zero atmospheric scattering. Existing evaluations rely on analogs that fail to replicate these conditions and lack actual metric ground truth. To address this, we present LuMon, a comprehensive benchmarking framework to evaluate MDE methods for lunar exploration. We introduce novel datasets featuring high-quality stereo ground truth depth from the real C