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Compared to raw extracted data, the smoothed data showed improved statistical power and revealed meaningful clinical patterns that were otherwise obscured by extraction inconsistencies

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Smoking vs Other Risk Factors While baldness is often genetic, research proves smoking amplifies the risk: Non-smokers with a family history typically develop baldness later

Multivariable analysis with time-dependent exposure and confounders After considering time-dependent exposure and confounders identified by the DAG (Figure 2), we used MSM with the GEE approach, adjusting for age at initiation of cigarette-use, sex (time-independent confounders), income, alcohol consumption, and motivation to quit smoking (time-dependent confounders) through IPW to balance confounders across each type of cigarette-use

Categorical data were expressed as counts and percentages, whereas quantitative data were represented as mean standard deviation (SD), median interquartile range (IQR), or 95% confidence interval (CI)

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