The time with hypophosphatemia from baseline to day 35 was estimated by a Kaplan- Meier plot. The treatment groups were compared by a log-rank test. Only subjects who had one or more s-phosphate value(s) <2 mg/dL were included.

Iron isomaltoside/ferric derisomaltose was compared to ferric carboxymaltose by estimation of the risk difference and the associated 95 % CI, adjusting for strata (type of underlying disease (women with IDA due to gynaecological blood losses; yes/no) and screening s-phosphate level (< or ≥ 3.5 mg/dL)) using the Cochran-Mantel-Haenszel method.

Day 1

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 7

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 8

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 14

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 21

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 35

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 1

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 7

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 8

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 14

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 21

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 35

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 1

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 7

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 8

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 14

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 21

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 35

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 1

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 7

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 8

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 14

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 21

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 35

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 1

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 7

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 8

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 14

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 21

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.

Day 35

Change from baseline was analysed using a Restricted Maximum Likelihood (REML)- based Mixed Model for Repeated Measures (MMRM) approach. All subjects with post baseline data were included with their observed data.

The model included the fixed, categorical effects of treatment, strata, day, treatment-by-day interaction, as well as the continuous, fixed covariates of the parameters baseline value, and baseline value-by-day interaction.