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   Articles with "type error" as a keyword



ComPaSS‐GWAS: A method to reduce type I error in genome‐wide association studies when replication data are not available

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recommendations! Published in 2019 at "Genetic Epidemiology"

DOI: 10.1002/gepi.22168

Abstract: Results from association studies are traditionally corroborated by replicating the findings in an independent data set. Although replication studies may be comparable for the main trait or phenotype of interest, it is unlikely that secondary… read more here.

Keywords: type error; association; gwas; replication ... See more keywords

Mitigating type 1 error inflation and power loss in GxE PRS: Genotype–environment interaction in polygenic risk score models

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recommendations! Published in 2024 at "Genetic Epidemiology"

DOI: 10.1002/gepi.22546

Abstract: The use of polygenic risk score (PRS) models has transformed the field of genetics by enabling the prediction of complex traits and diseases based on an individual's genetic profile. However, the impact of genotype–environment interaction… read more here.

Keywords: risk; gxe; prs; type error ... See more keywords

Interaction analysis under misspecification of main effects: Some common mistakes and simple solutions.

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recommendations! Published in 2020 at "Statistics in medicine"

DOI: 10.1002/sim.8505

Abstract: The statistical practice of modeling interaction with two linear main effects and a product term is ubiquitous in the statistical and epidemiological literature. Most data modelers are aware that the misspecification of main effects can… read more here.

Keywords: type error; interaction; misspecification main; main effect ... See more keywords

Type I Error Rates and Parameter Bias in Multivariate Behavioral Genetic Models

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recommendations! Published in 2019 at "Behavior Genetics"

DOI: 10.1007/s10519-018-9942-y

Abstract: For many multivariate twin models, the numerical Type I error rates are lower than theoretically expected rates using a likelihood ratio test (LRT), which implies that the significance threshold for statistical hypothesis tests is more… read more here.

Keywords: error; type error; error rates; parameter bias ... See more keywords

Comparison of the power and type 1 error of total score models for drug effect detection in clinical trials

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recommendations! Published in 2024 at "Journal of Pharmacokinetics and Pharmacodynamics"

DOI: 10.1007/s10928-024-09949-0

Abstract: Composite scale data consists of numerous categorical questions/items that are often summed as a total score and are commonly utilized as primary endpoints in clinical trials. These endpoints are conceptually discrete and constrained by nature.… read more here.

Keywords: total score; score; type error; clinical trials ... See more keywords

Type I Error Probability Spending for Post-Market Drug and Vaccine Safety Surveillance With Poisson Data

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recommendations! Published in 2018 at "Methodology and Computing in Applied Probability"

DOI: 10.1007/s11009-017-9586-z

Abstract: Statistical sequential hypothesis testing is meant to analyze cumulative data accruing in time. The methods can be divided in two types, group and continuous sequential approaches, and a question that arises is if one approach… read more here.

Keywords: type; type error; error probability; poisson ... See more keywords

Systematic identification and communication of type errors*

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recommendations! Published in 2018 at "Journal of Functional Programming"

DOI: 10.1017/s095679681700020x

Abstract: Abstract When type inference fails, it is often difficult to pinpoint the cause of the type error among many potential candidates. Generating informative messages to remove the type error is another difficult task due to… read more here.

Keywords: cause; systematic identification; error; type error ... See more keywords

Selected Ion Extraction of Peptides with Heavy Isotopes and Hydrogen Loss Reduces the Type II Error in Plasma Proteomics

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recommendations! Published in 2025 at "ACS Omega"

DOI: 10.1021/acsomega.4c05624

Abstract: Naturally occurring peptides display a wide mass distribution after ionization due to the presence of heavy isotopes of C, H, N, O, and S and hydrogen loss. There is a crucial need for sensitive methods… read more here.

Keywords: isotopes hydrogen; loss; type error; heavy isotopes ... See more keywords

Permutation Randomization Methods for Testing Measurement Equivalence and Detecting Differential Item Functioning in Multiple-Group Confirmatory Factor Analysis

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recommendations! Published in 2018 at "Psychological Methods"

DOI: 10.1037/met0000152

Abstract: Abstract In multigroup factor analysis, different levels of measurement invariance are accepted as tenable when researchers observe a nonsignificant (&Dgr;)&khgr;2 test after imposing certain equality constraints across groups. Large samples yield high power to detect… read more here.

Keywords: type error; factor analysis; invariance; permutation ... See more keywords

Reconsideration of the type I error rate for psychological science in the era of replication.

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recommendations! Published in 2022 at "Psychological methods"

DOI: 10.1037/met0000490

Abstract: Careful consideration of the tradeoff between Type I and Type II error rates when designing experiments is critical for maximizing statistical decision accuracy. Typically, Type I error rates (e.g., .05) are significantly lower than Type… read more here.

Keywords: error; error rate; replication; type error ... See more keywords

Comparison of Type I error rates and statistical power of different propensity score methods

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recommendations! Published in 2018 at "Journal of Statistical Computation and Simulation"

DOI: 10.1080/00949655.2017.1406937

Abstract: ABSTRACT Propensity score analysis (PSA) is a technique to correct for potential confounding in observational studies. Covariate adjustment, matching, stratification, and inverse weighting are the four most commonly used methods involving propensity scores. The main… read more here.

Keywords: type error; psa; propensity; power ... See more keywords