Estimation of the maximum utilization area including home range and peripheral sites
Sign Up to like & getrecommendations! Published in 2022 at "Ecology and Evolution"
DOI: 10.1002/ece3.8893
Abstract: Abstract There is increasing evidence that occasional utilization area (peripheral sites), in addition to typical utilization area (home range), is important for wildlife conservation and management. Here we estimated the maximum utilization area (MUA), including… read more here.
Keywords: sample size; area; peripheral sites; method ... See more keywords
Trends in the sample size, statistics, and contributions to the BrainMap database of activation likelihood estimation meta‐analyses: An empirical study of 10‐year data
Sign Up to like & getrecommendations! Published in 2022 at "Human Brain Mapping"
DOI: 10.1002/hbm.26177
Abstract: The literature of neuroimaging meta‐analysis has been thriving for over a decade. A majority of them were coordinate‐based meta‐analyses, particularly the activation likelihood estimation (ALE) approach. A meta‐evaluation of these meta‐analyses was performed to qualitatively… read more here.
Keywords: sample size; likelihood estimation; meta analyses; meta ... See more keywords
The Relevance of Goodness‐of‐fit, Robustness and Prediction Validation Categories of OECD‐QSAR Principles with Respect to Sample Size and Model Type
Sign Up to like & getrecommendations! Published in 2022 at "Molecular Informatics"
DOI: 10.1002/minf.202200072
Abstract: We investigated the relevance of the validation principles on the Quantitative Structure Activity Relationship models issued by Organization for Economic and Co‐operation and Development. We checked the goodness‐of‐fit, robustness and predictivity categories in linear and… read more here.
Keywords: fit robustness; validation; goodness fit; sample size ... See more keywords
Power and sample size requirements for GEE analyses of cluster randomized crossover trials.
Sign Up to like & getrecommendations! Published in 2019 at "Statistics in medicine"
DOI: 10.1002/sim.7995
Abstract: The cluster randomized crossover design has been proposed to improve efficiency over the traditional parallel cluster randomized design, which often involves a limited number of clusters. In recent years, the cluster randomized crossover design has… read more here.
Keywords: sample size; randomized crossover; cluster randomized; power ... See more keywords
A note on estimating the Cox-Snell R2 from a reported C statistic (AUROC) to inform sample size calculations for developing a prediction model with a binary outcome.
Sign Up to like & getrecommendations! Published in 2020 at "Statistics in medicine"
DOI: 10.1002/sim.8806
Abstract: In 2019 we published a pair of articles in Statistics in Medicine that describe how to calculate the minimum sample size for developing a multivariable prediction model with a continuous outcome, or with a binary… read more here.
Keywords: sample size; model; prediction model; binary outcome ... See more keywords
Sample size re-estimation in clinical trials.
Sign Up to like & getrecommendations! Published in 2021 at "Statistics in medicine"
DOI: 10.1002/sim.9175
Abstract: In clinical trials, sample size re-estimation is often conducted at interim. The purpose is to determine whether the study will achieve study objectives if the observed treatment effect at interim preserves till end of the… read more here.
Keywords: iev approach; power; effect; size ... See more keywords
Sample size formula for a win ratio endpoint
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DOI: 10.1002/sim.9297
Abstract: The win ratio composite endpoint, which organizes the components of the composite hierarchically, is becoming popular in late‐stage clinical trials. The method involves comparing data in a pair‐wise manner starting with the endpoint highest in… read more here.
Keywords: sample size; endpoint; win ratio; size ... See more keywords
Bayesian set of best dynamic treatment regimes: Construction and sample size calculation for SMARTs with binary outcomes
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DOI: 10.1002/sim.9323
Abstract: Sequential, multiple assignment, randomized trials (SMARTs) compare sequences of treatment decision rules called dynamic treatment regimes (DTRs). In particular, the Adaptive Treatment for Alcohol and Cocaine Dependence (ENGAGE) SMART aimed to determine the best DTRs… read more here.
Keywords: set best; treatment regimes; sample size; dynamic treatment ... See more keywords
Optimal adaptive promising zone designs
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DOI: 10.1002/sim.9339
Abstract: We develop optimal decision rules for sample size re‐estimation in two‐stage adaptive group sequential clinical trials. It is usual for the initial sample size specification of such trials to be adequate to detect a realistic… read more here.
Keywords: sample size; power; zone designs; zone ... See more keywords
Robustness of κ‐type coefficients for clinical agreement
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DOI: 10.1002/sim.9341
Abstract: The degree of inter‐rater agreement is usually assessed through κ ‐type coefficients and the extent of agreement is then characterized by comparing the value of the adopted coefficient against a benchmark scale. Through two motivating… read more here.
Keywords: agreement; sample size; type coefficients; rating scale ... See more keywords
Sample size calculation for the augmented logrank test in randomized clinical trials.
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DOI: 10.1002/sim.9374
Abstract: In randomized clinical trials, incorporating baseline covariates can improve the power in hypothesis testing for treatment effects. For survival endpoints, the Cox proportional hazards model with baseline covariates as explanatory variables can improve the standard… read more here.
Keywords: clinical trials; logrank test; test; randomized clinical ... See more keywords