Your English writing platform
Discover LudwigExact(36)
Missing value analysis and imputation were carried out using the expectation maximization method.
Missing value analysis supports the generalizability of results to Cambridge medical students.
Missing value analysis showed overall less than 5%% missing data in the overall dataset (2007 and 2011).
The depression data for each group was then analysed using descriptive statistics, missing value analysis (including the attrition rate) and time series analysis.
Second, a missing value analysis was performed.
Missing data on the item level will be handled using SPSS missing value analysis.
Similar(24)
A missing values analysis was undertaken.
Missing values' analysis showed no item with more than 2% missing values (range 0 1.9%).
All items were screened with descriptive statistics and missing values analysis.
Feasibility of the DQI, EQ-5D + C and the QOL-AD were assessed by a missing values analysis.
A missing values analysis was conducted in accord with best practice guidelines (Jeličić, Phelps, & Lerner, 2009; Schlomer, Bauman, & Card, 2010).
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com