Results 91 to 100 of about 4,225,561 (321)

Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM

FEBS Letters, EarlyView.
Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley   +1 more source

Imputation and Missing Indicators for Handling Missing Longitudinal Data: Data Simulation Analysis Based on Electronic Health Record Data

JMIR Medical Informatics
BackgroundMissing data in electronic health records are highly prevalent and result in analytical concerns such as heterogeneous sources of bias and loss of statistical power.
Molly Ehrig, Garrett S Bullock, Xiaoyan Iris Leng, Nicholas M Pajewski, Jaime Lynn Speiser   +4 more
doaj   +1 more source

Simple descriptive missing data indicators in longitudinal studies with attrition, intermittent missing data and a high number of follow-ups

BMC Research Notes, 2018
Objective Missing data in longitudinal studies may constitute a source of bias. We suggest three simple missing data indicators for the initial phase of getting an overview of the missingness pattern in a dataset with a high number of follow-ups ...
Morten Wærsted, Taran Svenssen Børnick, Jos W. R. Twisk, Kaj Bo Veiersted   +3 more
doaj   +1 more source

Missing data, part 8. Reporting analyses with missing data

American Journal of Orthodontics and Dentofacial Orthopedics, 2023
White, Ian R, Pandis, Nikolaos, Pham, Tra My   +2 more
openaire   +3 more sources

Best Practices for Addressing Missing Data through Multiple Imputation

, 2021
Adrienne D. Woods, Daria Gerasimova, Ben Van Dusen, Jayson Nissen, Sierra A. Bainter, Alex Uzdavines, Pamela Davis‐Kean, Max A. Halvorson, Kevin M. King, Jessica A. R. Logan, Menglin Xu, Martin R. Vasilev, James M. Clay, David Moreau, Keven Joyal‐Desmarais, Rick A. Cruz, Denver M. Y. Brown, Kathleen Schmidt, Mahmoud Medhat Elsherif   +18 more
openalex   +1 more source

Mapping the evolution of mitochondrial complex I through structural variation

FEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin, Tingting Chen, James A. Letts   +2 more
wiley   +1 more source

Spatial effects with missing data

Open Linguistics
In recent years, there has been an increased attention and interest in quantitative and statistical models of language contact and language diffusion in space.
Naranjo Matías Guzmán, Mertner Miri, Urban Matthias   +2 more
doaj   +1 more source

Impact of Missing Data on Data Quality in Social Research

Соціологічні студії
Missing data is a common issue in quantitative social research that negatively affects the data quality. This article explores the consequences of missing data, outlining the potential issues it may pose and emphasizing the importance of properly ...
Yaroslav Kostenko
doaj   +1 more source

Missing data, part 3. How to explore missing data

American Journal of Orthodontics and Dentofacial Orthopedics, 2022
Tra My Pham, Nikolaos Pandis, Ian R. White   +2 more
openaire   +3 more sources

Weak consistency of the 1-nearest neighbor measure with applications to missing data

, 2019
When data is partially missing at random, imputation and importance weighting are often used to estimate moments of the unobserved population. In this paper, we study 1-nearest neighbor (1NN) importance weighting, which estimates moments by replacing ...
Sharpnack, James
core