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Primary Analysis: time_to_first vs time_to_fof

Analysis of time_to_first vs time_to_fof.

Unadjusted Model Results

Simple linear regression examining the direct relationship between time_to_first and time_to_fof.

Model diagnostics warning: High multicollinearity detected (condition number > 30). Residuals may not be normally distributed (p < 0.05).

Outcome: time_to_fof Predictor: time_to_first

                            OLS Regression Results                            
==============================================================================
Dep. Variable:            time_to_fof   R-squared:                       0.049
Model:                            OLS   Adj. R-squared:                  0.044
Method:                 Least Squares   F-statistic:                     11.56
Date:                Tue, 05 Aug 2025   Prob (F-statistic):           0.000798
Time:                        04:27:53   Log-Likelihood:                -904.62
No. Observations:                 228   AIC:                             1813.
Df Residuals:                     226   BIC:                             1820.
Df Model:                           1                                         
Covariance Type:            nonrobust                                         
=================================================================================
                    coef    std err          t      P>|t|      [0.025      0.975]
---------------------------------------------------------------------------------
const            10.0986      1.901      5.313      0.000       6.353      13.844
time_to_first     0.1412      0.042      3.399      0.001       0.059       0.223
==============================================================================
Omnibus:                       58.540   Durbin-Watson:                   1.524
Prob(Omnibus):                  0.000   Jarque-Bera (JB):              107.502
Skew:                           1.320   Prob(JB):                     4.53e-24
Kurtosis:                       5.085   Cond. No.                         102.
==============================================================================

Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.

Unadjusted Plot

Plot showing relationship between time_to_first and time_to_fof (LOESS with CI and OLS prediction).

time_to_first_vs_time_to_fof_unadjusted.png

Model Variables (Adjusted Analysis)

Outcome: time_to_fof Indep: time_to_first Gestational Age Var: gestational_age_weeks Confounders: ['gestational_age_weeks', 'birth_weight_grams', 'mechanical_ventilation', 'o2_device_at_36_weeks'] Covariates: ['medicalcomplexity']

Adjusted Model Results

Multiple regression examining the relationship between time_to_first and time_to_fof, controlling for gestational age and other potential confounders.

Model diagnostics warning: High multicollinearity detected (condition number > 30). Residuals may not be normally distributed (p < 0.05).

Outcome: time_to_fof Predictors: time_to_first, gestational_age_weeks, birth_weight_grams, mechanical_ventilation_no history of mechanical ventilation, o2_device_at_36_weeks_did NOT require respiratory support at 36 weeks, medicalcomplexity_Children with noncomplex chronic disease, medicalcomplexity_Children without chronic disease

                            OLS Regression Results                            
==============================================================================
Dep. Variable:            time_to_fof   R-squared:                       0.137
Model:                            OLS   Adj. R-squared:                  0.109
Method:                 Least Squares   F-statistic:                     4.978
Date:                Tue, 05 Aug 2025   Prob (F-statistic):           3.00e-05
Time:                        04:27:55   Log-Likelihood:                -893.54
No. Observations:                 228   AIC:                             1803.
Df Residuals:                     220   BIC:                             1831.
Df Model:                           7                                         
Covariance Type:            nonrobust                                         
=========================================================================================================================================
                                                                            coef    std err          t      P>|t|      [0.025      0.975]
-----------------------------------------------------------------------------------------------------------------------------------------
const                                                                    90.1802     26.873      3.356      0.001      37.219     143.142
time_to_first                                                            -0.1860      0.088     -2.103      0.037      -0.360      -0.012
gestational_age_weeks                                                    -1.9600      0.933     -2.101      0.037      -3.798      -0.122
birth_weight_grams                                                       -0.0033      0.004     -0.775      0.439      -0.012       0.005
mechanical_ventilation_no history of mechanical ventilation              -5.2261      2.045     -2.556      0.011      -9.256      -1.196
o2_device_at_36_weeks_did NOT require respiratory support at 36 weeks    -2.3154      2.160     -1.072      0.285      -6.572       1.942
medicalcomplexity_Children with noncomplex chronic disease               -1.1028      4.974     -0.222      0.825     -10.905       8.699
medicalcomplexity_Children without chronic disease                       -2.2645      3.915     -0.578      0.564      -9.979       5.450
==============================================================================
Omnibus:                       85.427   Durbin-Watson:                   1.649
Prob(Omnibus):                  0.000   Jarque-Bera (JB):              245.956
Skew:                           1.646   Prob(JB):                     3.90e-54
Kurtosis:                       6.880   Cond. No.                     4.24e+04
==============================================================================

Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 4.24e+04. This might indicate that there are
strong multicollinearity or other numerical problems.

Adjusted Plot

Plot showing adjusted relationship between time_to_first and time_to_fof (LOESS with CI).

time_to_first_vs_time_to_fof_adjusted.png

Optimal Value

Adj. model optimal time_to_first: 108.34, Predicted time_to_fof: 3.34.