Results 231 to 240 of about 353,670 (291)

Shared Genetic Effects and Antagonistic Pleiotropy Between Multiple Sclerosis and Common Cancers

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epidemiologic studies have reported inconsistent altered cancer risk in individuals with multiple sclerosis (MS). Factors such as immune dysregulation, comorbidities, and disease‐modifying therapies may contribute to this variability.
Asli Buyukkurt, Marius Ygonia, Ali Manouchehrinia, Philippe Lefrançois, Ingrid Kockum, Adil Harroud   +5 more
wiley   +1 more source

Imperfect Synthetic Controls. [PDF]

J Appl Econ (Chichester Engl)
Powell D.
europepmc   +1 more source

Log-ratio type estimation for the finite population mean under simple random sampling without replacement with theory, simulation and application. [PDF]

Sci Rep
Shakoor F, Atif M, Ali H, Alshammari AO, Himmat B, Kefi K.   +5 more
europepmc   +1 more source

Causal relationship between body mass index and risk of juvenile idiopathic arthritis: A 2-sample Mendelian randomization study. [PDF]

Medicine (Baltimore)
Huang R, Jiang G, Lu J, Gui Y, He B, Yang C, Xu J.   +6 more
europepmc   +1 more source

What's the Weight? Estimating Controlled Outcome Differences in Complex Surveys for Health Disparities Research. [PDF]

Stat Med
Salerno S, Roberts EK, Needham BL, McCormick TH, Li F, Mukherjee B, Shi X.   +6 more
europepmc   +1 more source

A Corrected Score Approach for Proportional Hazards Model With Error-Contaminated Covariates Subject to Detection Limits. [PDF]

Stat Med
Song X, Wang CY.
europepmc   +1 more source

Design a model to predict incomplete immunization among Ethiopian children using ensemble machine learning algorithms. [PDF]

Sci Rep
Mihret BG, Belay BN, Kelkay JM, Amare AM, Tarekegn AD, Asegu AA, Belay GN, Engdayehu AM, Engda AA, Mengist YA, Anteneh DS, Yesuf SH.   +11 more
europepmc   +1 more source

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Boosting Regression Estimators

Neural Computation, 1999
There is interest in extending the boosting algorithm (Schapire, 1990) to fit a wide range of regression problems. The threshold-based boosting algorithm for regression used an analogy between classification errors and big errors in regression. We focus on the practical aspects of this algorithm and compare it to other attempts to extend boosting to ...
R, Avnimelech, N, Intrator
openaire   +2 more sources

Regression Estimation in Simulation

Journal of the Operational Research Society, 1980
In simulation an input variable like interarrival time is sampled, and hence its average deviates from its known expectation. This information can be used to improve the estimated simulation response: regression sampling or control variate technique. The usual crude estimator is shown to be biased.
Hopmans, Anton C. M., Kleijnen, Jack P. C.   +1 more
openaire   +2 more sources