Results 161 to 170 of about 30,695 (301)

Nonparametric Regression for Cost‐Effectiveness Analyses With Observational Data—A Tutorial

Health Economics, EarlyView.
ABSTRACT Healthcare decision‐making often requires selecting among multiple treatment options under budget constraints, particularly when one option is more effective but also more costly. Cost‐effectiveness analysis (CEA) provides a framework for evaluating whether the health benefits of a treatment justify its additional costs.
Jonas Esser, Mateus Maia, Judith E. Bosmans, Johanna Maria van Dongen   +3 more
wiley   +1 more source

The Structure of Informal Learning in the Workplace—An Experience Sampling Approach

Human Resource Development Quarterly, EarlyView.
ABSTRACT This paper complements retrospective approaches to researching informal learning in the workplace with experience sampling. Since (conscious) informal learning is becoming increasingly important for successfully keeping pace with rapid changes in working environments, a clear understanding of the construct and its precise measurement are ...
Katja Häußermann, Tina Seufert
wiley   +1 more source

Evaluation of a model averaging algorithm for model-informed precision dosing in the context of parameter misspecifications. [PDF]

J Pharmacokinet Pharmacodyn
Witta S, Wicha SG.
europepmc   +1 more source

Exchange Rate Expectations and Functional Misspecification.

The authors employ the Cooley-Prescott adaptive model to examine for functional misspecification in three commonly used exchange rate expectation models. They also test for heterogeneity among forecasts.
Boyd, Roy, Doroodian, Khosrow
core  

Formative and Reflective Measurement Models in Workplace Learning Research: A Critical Review and Guidelines

Human Resource Development Quarterly, EarlyView.
ABSTRACT Quantitative empirical research in workplace learning regularly makes use of measurement instruments that operationalize theoretical constructs. However, in domains related to workplace learning, high levels of measurement model misspecifications—up to 62% of all cases—have been identified.
Josef Guggemos, Michael Goller
wiley   +1 more source

Robustness to Model Misspecification in Bayesian Experimental Design

Scientific experiments can be costly to conduct due to various reasons. Therefore, researchers need to choose the experimental design which allows them to obtain the highest amount of information possible. As an information-theoretical framework based on
Ulukir, Behram
core   +1 more source

Two-Stage Estimation for Causal Inference Involving Semi-Continuous Exposures. [PDF]

Stat Med
Wang X, Cook RJ, Zhu Y, Akkaya-Hocagil T, Carter RC, Jacobson SW, Jacobson JL, Ryan LM.   +7 more
europepmc   +1 more source

Nonlinearity and Heteroscedasticity in Tobit Models: Score Tests for Misspecification with one Degree of Freedom

Tobit models, misspecification, functional ...
Ilpo Suoniemi
core  

Estimation of Subtype‐Specific Tumour Growth Rate Distributions and Interval Cancer Proportions in Breast Cancer Using Biology‐Inspired Natural History Models

International Journal of Cancer, EarlyView.
ABSTRACT Breast cancer progression varies across molecular subtypes, influencing detection rates and prognosis. Differences in the proportion of interval cancers (PIC)—cancers detected symptomatically between scheduled screening rounds—have been observed across subtypes, likely reflecting heterogeneity in tumour growth dynamics. We applied a continuous‐
Letizia Orsini, Yuqi Zhang, Kamila Czene, Keith Humphreys   +3 more
wiley   +1 more source

Calibrating Machine Learning Approaches for Probability Estimation Without Calibration Data. [PDF]

Stat Med
Carluccio ED, Koliopanos G, Ojeda FM, Weimar C, Ziegler A.   +4 more
europepmc   +1 more source