Sample size and statistical analysis
cancer
REGRESSION, CANCER
We aimed to include a total of 40 participants, Safety analyses were performed on the safety analysis set and included all individuals that had participated in one of the program interventions for at least one day. A safety code book and a safety analysis plan assisted in the analysis. Crude (unadjusted) Relative Risk (RR) with 95% Confidence Intervals (CI) were calculated to indicate the risk of having an AE adjusted to days of exposure in program interventions. Pearson's chi-squared test was used to calculate differences in AE severity between the two study arms. Chi-squared statistics and independent samples t-tests were used to calculate group differences in socio-demographic variables and cancer characteristics. The Alpha level was set to 0.05.To explore possible change over time in nature-relatedness, quality of life, self-esteem, and self-efficacy scores within study arms, linear mixed regression models with fixed effects were used. The covariance matrix was set to A1 Heterogenous which assumes that the covariance between time points gets weaker as measurement times grow further apart. To explore possible changes between study arms, a mixed-effects regression models with random intercepts were conducted. Missing data were imputed by means of multiple imputation [