Dependence of indoor radon concentrations (IRCs) in the ground floors of 1200 buildings across Montenegro on 11 factors was analyzed. A group of 734 buildings, for which none of the analyzed factors was missing, was further analyzed using the logistic regression method, in order to develop a prediction model for IRC occurrence above the national reference level for new buildings (200 Bq/m³). Applying the forward stepwise method, and based on likelihood ratios, five explanatory variables—municipality, type of building, presence of basement, window frames, and period of construction—were selected for including into the final logistic regression model for predicting probability of IRC > 200 Bq/m³. The final model explained 77.1% of the observed IRCs, while the obtained Area under the Curve of 0.8018 classified the model as having a very high predictive ability. Achieving similar values for both the final prediction model and the validation model, for sensitivity, specificity, and accuracy, confirmed the applicability of the developed model.

分析了黑山境内1200栋建筑物底层的室内don浓度（IRCs）对11个因素的依赖性。使用logistic回归方法进一步分析了一组734栋建筑物，其中没有任何分析因素缺失，以便为新建筑物（200 Bq / m ³）的国家参考水平之上的IRC发生建立预测模型。。应用前瞻性逐步方法，并基于似然比，选择了五个解释变量（市政性，建筑物类型，地下室的存在，窗框和建造周期），以将其包含在最终的Logistic回归模型中以预测IRC> 200平方米/米³。最终模型解释了观察到的IRC的77.1％，而获得的曲线下面积0.8018将模型归类为具有很高的预测能力。对于最终预测模型和验证模型，在敏感性，特异性和准确性方面均达到相似的值，证实了所开发模型的适用性。